Christoph Wies

Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma

2024 · 138 Zit. · Nature Communications

Large language model use in clinical oncology

2024 · 62 Zit. · npj Precision Oncology

Federated Learning for Decentralized Artificial Intelligence in Melanoma Diagnostics

2024 · 48 Zit. · JAMA Dermatology

Superhuman performance on urology board questions using an explainable language model enhanced with European Association of Urology guidelines

2024 · 18 Zit. · ESMO Real World Data and Digital Oncology

Evaluating interactions of patients with large language models for medical information

2025 · 12 Zit. · British Journal of Urology

Pathologist-like explainable AI for interpretable Gleason grading in prostate cancer

2025 · 6 Zit. · Nature Communications

Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma

2023 · 5 Zit. · arXiv (Cornell University)

Reply to: False conflict and false confirmation errors are crucial components of AI accuracy in medical decision making

2024 · 4 Zit. · Nature Communications

Generative AI in social media health communication: systematic review and meta-analysis of user engagement with implications for cancer prevention

2025 · 3 Zit. · European Journal of Cancer

Patient insights into empathy, compassion and self-disclosure in medical large language models: results from the IPALLM III study

2025 · 2 Zit. · World Journal of Urology

Prospective Evidence on Artificial Intelligence−Assisted Melanoma Diagnostics

2026 · 1 Zit. · JAMA Dermatology

Enhancing clinicians’ trust in large language models via transparent source attribution: A randomized controlled evaluation in uro-oncology

2025 · 1 Zit. · European Journal of Cancer